Yousuf, A., & Stronen, C. (2022, August), Maskbot: Indoor Traffic Control  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41165

\bibitem{asee_peer_41165}
  Yousuf, A., \& Stronen, C. (2022, August), \emph{Maskbot: Indoor Traffic Control}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  10.18260/1-2--41165

Asad Yousuf and Christopher Stronen.  "Maskbot: Indoor Traffic Control".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://peer.asee.org/41165 Internet.  22 Dec, 2024

\bibitem{asee_peer_41165}
  Asad Yousuf and Christopher Stronen.
  "Maskbot: Indoor Traffic Control".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://peer.asee.org/41165 Internet.  22 Dec, 2024

@INPROCEEDINGS{asee_peer_41165
author = "Asad Yousuf and Christopher Stronen"
title = "Maskbot: Indoor Traffic Control"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/41165}
number = {10.18260/1-2--41165}
}

TY  - CPAPER
AB  - The transmission of Covid-19 continues to be a serious concern of many institutions in industrialized countries. However, circumstances dictate that on-site work must continue in education and industry. How authorities address the pandemic is a subject of controversy, and enforcement of Covid-19 protocols locally by everyday workers and educators can be uncomfortable, if not dangerous. The Maskbot project aims to automate two of these protocols: people should wear facemasks in public areas to minimize exhalation of water droplets in the air, and people should quarantine if they are running a body temperature above nominal values. With Maskbot, enforcement of these protocols take the shape of indoor traffic control of incoming and outgoing movement. Incoming traffic is audited with a Raspberry Pi B+ loaded with a model that allows it to analyze faces for masks with the feed coming from a USB camera. Additionally, incoming traffic is checked for high body temperature with an infrared thermometer. If an unmasked or irregularly high temperature status is received, the entrance gate will block incoming traffic with barrier arms attached to two parallax servos, controlled by a linked Arduino Uno. Furthermore, these undesired states will result in an alarm going off, an LCD informing the passerby that they are not to proceed, and a picture being taken of the passerby to be sent to a building manager email. Desired states will result in a prompt to proceed and raise barrier arms. Outgoing traffic is managed by an exit gate, which raises its barrier arms on command when a leaving pedestrian waves their hand in front of an ultrasonic sensor.
AU  - Asad Yousuf
AU  - Christopher Stronen
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - Maskbot: Indoor Traffic Control
UR  - https://peer.asee.org/41165
DO  - 10.18260/1-2--41165
ER  -